Vaishali. B Niranjane, Utkarsha Shelke, Saili Shirke, Srushti Dafe
{"title":"IoT based Digital Production Counting System","authors":"Vaishali. B Niranjane, Utkarsha Shelke, Saili Shirke, Srushti Dafe","doi":"10.1109/ICEARS53579.2022.9752399","DOIUrl":null,"url":null,"abstract":"The Objective of this research is to Design and build a IoT Base Digital Production Counting system. It decreases the likelihood of counting errors and improve counting accuracy, which is used in big enterprises since it outperforms human techniques. Production manufacturing and counting can be a time-consuming process that includes quality control, large-scale analysis, and quantity measurement. The classification especially supports the quantity factor, or production rate which is accomplished by human resource present in industry with having either a max or min rate of production but keeping the exact count throughout the manufacturing process is still impossible. The quantity outcome is an important factor in steadfast the industry's economic growth and financial health. As IoT is quickly growing as the next phase of the Internet's development, it's becoming more necessary than ever to understand the several prospective domains for IoT operations. Since the previous few decades, technology has played an increasingly important role in our daily lives. As IOT is developed, industries can increase productivity and data collection efficiency. In order to improve production demographics this project aims to count the multiple products which are counted by IR sensor using IR interruption concept and Microcontroller is used here to keep track of a huge number of items and display on a LCD display as well as upload the data on web via Node MCU (IOT Module)","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEARS53579.2022.9752399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The Objective of this research is to Design and build a IoT Base Digital Production Counting system. It decreases the likelihood of counting errors and improve counting accuracy, which is used in big enterprises since it outperforms human techniques. Production manufacturing and counting can be a time-consuming process that includes quality control, large-scale analysis, and quantity measurement. The classification especially supports the quantity factor, or production rate which is accomplished by human resource present in industry with having either a max or min rate of production but keeping the exact count throughout the manufacturing process is still impossible. The quantity outcome is an important factor in steadfast the industry's economic growth and financial health. As IoT is quickly growing as the next phase of the Internet's development, it's becoming more necessary than ever to understand the several prospective domains for IoT operations. Since the previous few decades, technology has played an increasingly important role in our daily lives. As IOT is developed, industries can increase productivity and data collection efficiency. In order to improve production demographics this project aims to count the multiple products which are counted by IR sensor using IR interruption concept and Microcontroller is used here to keep track of a huge number of items and display on a LCD display as well as upload the data on web via Node MCU (IOT Module)